Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Nayana Damiani Macedo"'
Autor:
Nayana Damiani Macedo, Aline Rodrigues Buzin, Isabela Bastos de Araujo, Breno Valentim Nogueira, Tadeu Uggere Andrade, Denise Coutinho Endringer, Dominik Lenz
Publikováno v:
Journal of Immunology Research, Vol 2019 (2019)
Background. Manual analysis of tissue sections, such as for pathological diagnosis, requires an analyst with substantial knowledge and experience. Reproducible image analysis of biological samples is steadily gaining scientific importance. The aim of
Externí odkaz:
https://doaj.org/article/8107a774963f40d2babbf94af87c224c
Autor:
Leonardo Moreira Moscon, Célio Siman Mafra Nunes, Nayana Damiani Macedo, Dominik Lenz, Denise Coutinho Endringer, Paulo César Ribeiro Boasquevisque, Tadeu Uggere de Andrade
Publikováno v:
Comparative Clinical Pathology. 28:177-182
Usage machine-based learning image cytometry to establish the diagnosis of cervix cancer using cellular morphology classification in comparison to the conventional cytological test. The study was divided into two phases consisting of 15 samples of ce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26852e2d11099766187515feae996bfb
https://doi.org/10.1007/s00580-018-2812-4
https://doi.org/10.1007/s00580-018-2812-4
Autor:
Dominik Lenz, Breno Valentim Nogueira, Isabela Bastos Binotti Abreu de Araujo, Tadeu Uggere de Andrade, Denise Coutinho Endringer, Aline Rodrigues Buzin, Nayana Damiani Macedo
Publikováno v:
Tissue and Cell. 49:22-27
Objective The current study proposes an automated machine learning approach for the quantification of cells in cell death pathways according to DNA fragmentation. Methods A total of 17 images of kidney histological slide samples from male Wistar rats
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddd99b78a5d3697d8f846fdce69d2aca
https://doi.org/10.1016/j.tice.2016.12.006
https://doi.org/10.1016/j.tice.2016.12.006
Autor:
Tadeu Uggere de Andrade, Dominik Lenz, Breno Valentim Nogueira, Aline Rodrigues Buzin, Isabela Bastos Binotti Abreu de Araujo, Denise Coutinho Endringer, Nayana Damiani Macedo
Publikováno v:
Journal of Immunology Research, Vol 2019 (2019)
Journal of Immunology Research
Journal of Immunology Research
Background. Manual analysis of tissue sections, such as for pathological diagnosis, requires an analyst with substantial knowledge and experience. Reproducible image analysis of biological samples is steadily gaining scientific importance. The aim of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff99b8486d82ec68b9ffea6d3e1542ef
https://doaj.org/article/8107a774963f40d2babbf94af87c224c
https://doaj.org/article/8107a774963f40d2babbf94af87c224c
Autor:
Nayana Damiani, Macedo, Aline Rodrigues, Buzin, Isabela Bastos Binotti Abreu, de Araujo, Breno Valentim, Nogueira, Tadeu Uggere, de Andrade, Denise Coutinho, Endringer, Dominik, Lenz
Publikováno v:
Tissuecell. 49(1)
The current study proposes an automated machine learning approach for the quantification of cells in cell death pathways according to DNA fragmentation.A total of 17 images of kidney histological slide samples from male Wistar rats were used. The sli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::41ec9222091b30fc8896c65e3c1f420d
https://pubmed.ncbi.nlm.nih.gov/28073590
https://pubmed.ncbi.nlm.nih.gov/28073590
Autor:
Denise Coutinho Endringer, Nayana Damiani Macedo, Dominik Lenz, Tadeu Uggere de Andrade, Breno Valentim Nogueira, Isabela Bastos Binotti Abreu de Araujo, Aline Rodrigues Buzin
Publikováno v:
Journal of immunological methods. 444
Objective The objective of this study was the identification of the stain HIF-alpha using the Image Cytometry, and to help to count the positive cells (with HIF-alpha) and the negative cells (without HIF-alpha) from the same sample. Method 17 images
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::148b5f14538710f85708352539f6a34f
https://pubmed.ncbi.nlm.nih.gov/28212880
https://pubmed.ncbi.nlm.nih.gov/28212880
Autor:
Warley de Souza Borges, Eduardo R. Cole, Luciana S Gasparini, Tadeu Uggere de Andrade, Nayana Damiani Macedo, Valdemar Lacerda Júnior, Denise Coutinho Endringer, Marcio Fronza, Dominik Lenz, Elisângela F. Pimentel
Publikováno v:
Pharmacognosy Magazine
Objective: This study evaluated in vitro cell viability by the colorimetric MTT stands for 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (3-(4, 5-dimethylthiazolyl-2)-2, 5-diphenyltetrazolium bromide) (3-(4, 5-dimethylthiazolyl-2)-2, 5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::810f304dee047bf5b7fc7ee6d0653e88
https://doi.org/10.4103/0973-1296.210176
https://doi.org/10.4103/0973-1296.210176